Image registration of treatment planning image, intrafraction 3D image, and intrafraction 2D x-ray image

Patent metadata

Field	Value
Publication number	US-10713801-B2
Application number	US-201815862438-A
Country	US
Kind code	B2
Filing date	Jan 4, 2018
Priority date	Jan 6, 2017
Publication date	Jul 14, 2020
Grant date	Jul 14, 2020

Abstract

A method of the present disclosure includes performing, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient. The method further includes performing, by the processing device, a second image registration between the reference image and a motion x-ray image of the patient, via a first digitally reconstructed radiograph (DRR) for the reference image of the patient. The method further includes tracking at least a translational change in the target position based on the first registration and the second registration.

First claim

What is claimed is:

1. A method, comprising:
performing, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient;
performing, by the processing device, a second image registration between the reference image and a motion x-ray image of the patient, via a first digitally reconstructed radiograph (DRR) for the reference image of the patient; and
tracking at least a translational change in the target position based on the first registration anc the second registration.

2. The method of claim 1 , wherein the reference image and the motion image are three-dimensional (3D) images.

3. The method of claim 2 , wherein the reference image is a 3D planning image.

4. The method of claim 2 , wherein the reference image is one of: a kilovoltage computed tomography (kV-CT) image, a magnetic resonance imaging (MRI) image, a kilovoltage cone beam computed tomography (kV-CBCT) image, or a megavoltage computed tomography (MVCT) image.

5. The method of claim 2 , wherein the motion image is one of: a kilovoltage cone beam computed tomography (kV-CBCT) image, a megavoltage cone beam computed tomography (MV-CBCT) image, a megavoltage computed tomography (MVCT) image, or a helical kV-CT image.

6. The method of claim 1 , wherein the first image registration is used to perform a global rotational patient alignment, and wherein the second image registration is used to maintain the global rotational patient alignment.

7. The method of claim 1 , further comprising:
generating a second DRR, wherein the second DRR is of the motion image;
performing a third image registration between the motion image and the motion x-ray image via the second DRR; and
tracking at least the translational change in the target position based on the third registration.

8. The method of claim 1 , wherein the reference image, the motion image, and the motion x-ray image are generated by an imaging source of a helical radiation delivery system or by one or more imaging sources at different positions with respect to the patient.

9. The method of claim 1 , further comprising:
detecting a fiducial migration associated with the patient based on the first DRR; and
modifying a tracking algorithm associated with a treatment delivery of the patient to account for the fiducial migration.

10. A system comprising:
a memory; and
a processing device, operatively coupled with the memory, to:
performing a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient;
performing a second image registration between the reference image and a motion x-ray image of the patient, via a first digitally reconstructed radiograph (DRR) for the reference image of the patient; and
track at least a translational change in the target position based on the first registration and the second registration.

11. The system of claim 10 , wherein the reference image is one of: a kilovoltage computed tomography (kV-CT) image, a magnetic resonance imaging (MRI) image, a kilovoltage cone beam computed tomography (kV-CBCT) image, or a megavoltage computed tomography (MVCT) image.

12. The system of claim 10 , wherein the motion image is one of: a kilovoltage cone beam computed tomography (kV-CBCT) image, a megavoltage cone beam computed tomography (MV-CBCT) image, a megavoltage computed tomography (MVCT) image, or a helical kV-CT image.

13. A non-transitory computer readable medium comprising instructions that, when executed by a processing device, cause the processing device to:
perform, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient;
perform, by the processing device, a second image registration between the reference image and a motion x-ray image of the patient, via a first digitally reconstructed radiograph (DRR) for the reference image of the patient; and
track at least a translational change in the target position based on the first registration and the second registration.

14. The non-transitory computer readable medium of claim 13 , the processing device further to:
generate a second DRR, wherein the second DRR is of the motion image;
perform a third image registration between the motion image and the motion x-ray image via the second DRR; and
track at least the translational change in the target position based on the third registration.

15. The non-transitory computer readable medium of claim 13 , wherein the reference image, the motion image, and the motion x-ray image are generated by an imaging source of a helical radiation delivery system or by one or more imaging sources at different positions with respect to the patient.

16. The non-transitory computer readable medium of claim 13 , the processing device further to:
detect a fiducial migration associated with the patient based on the first DRR; and
modify a tracking algorithm associated with a treatment delivery of the patient to account for the fiducial migration.

17. A method, comprising:
performing, by a processing device, a first image registration between a reference image of a patient and a motion image of the patient, to perform alignment between the reference image and the motion image, wherein the reference image and the motion image include a target position of the patient;
performing, by the processing device, a second image registration between the motion image and a motion x-ray image of the patient, via a first digitally reconstructed radiograph (DRR) for the motion image; and
tracking at least a translational change in the target position based on the first registration and the second registration.

18. The method of claim 17 , wherein the motion image has a higher spatial resolution than the reference image.

19. The method of claim 17 , wherein the reference image is one of: a kilovoltage computed tomography (kV-CT) image, a magnetic resonance imaging (MRI) image, a kilovoltage cone beam computed tomography (kV-CBCT) image, or a megavoltage computed tomography (MVCT) image.

20. The method of claim 17 , wherein the motion image is one of: a kilovoltage cone beam computed tomography (kV-CBCT) image, a megavoltage cone beam computed tomography (MV-CBCT) image, a megavoltage computed tomography (MVCT) image, or a helical kV-CT image.

21. The method of claim 17 , wherein the first DRR corresponds to a daily patient pose and deformation.

22. The method of claim 17 , further comprising:
detecting a fiducial migration associated with the patient based on the first DRR; and
modifying a tracking algorithm associated with a treatment delivery of the patient to account for the fiducial migration.

23. The method of claim 17 , further comprising:
performing a third image registration between an enhanced reference image and the motion x-ray image of the patient, via a second DRR, wherein the second DRR is of the enhanced reference image; and
tracking at least the translational change in the target positi

Assignees

• Accuray Inc

Inventors

• Jordan Petr
• Maurer Jr Calvin R
• Myronenko Andriy
• Chappelow Jonathan Cecil

Classifications

• G06T12/00

  Tomographic reconstruction from projections · CPC title

• A61B6/032 Primary

  Transmission computed tomography [CT] · CPC title

• A61B6/4258

  for detecting non x-ray radiation, e.g. gamma radiation (A61B6/037 takes precedence) · CPC title

• A61N2005/1062

  using virtual X-ray images, e.g. digitally reconstructed radiographs [DRR] · CPC title

• A61N5/1049

  for verifying the position of the patient with respect to the radiation beam · CPC title